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Senior Data Engineer

No of Positions  No of Positions:   3

location Location: New Delhi

date Tentative Start Date:   April 27, 2022

Work From Work From : Offsite

rate Rate : $ 10  -  20 (Hourly)

experience Experience : 8 to 10 Year

Job Applicants : 9
Job Views : 229
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Job Category : Information Technology & Services
Duration : 3-6  Month
Key Skills Required Skills
AWS Spark Flink DynamoDB Kubernetes Java Scala AWS Cloud services

The Senior Data Engineer is responsible for the development of high-performance, distributed computing solutions using technologies like Apache Spark, Apache Flink/Storm/Kafka Streams, Kafka, NoSQL database, and other distributed systems based on the needs of the organization.

Your Qualifications

  • Bachelor's Degree or Master's Degree in Computer Science or related field with 8-10 years of experience.
  • Expertise in handling huge datasets with deep experience in AWS, Spark, Flink, DynamoDB, Cassandra, NoSQL, etc.
  • Experience with data pipeline orchestrating tools: Airflow, Luigi, etc.
  • Experience with container orchestration tools like Kubernetes. (Must have)
  • Experience with AWS cloud services: S3, EMR, RDS, Redshift, Lambda.
  • Strong programming skills in at least one of the following: Java, Scala.
  • Experience in building scalable complex data pipelines in the production system.
  • Understanding of stream processing with good knowledge of Kafka and either Kafka Streams/Spark streaming/Storm or Flink.
  • Knowledge of software engineering best practices CI/CD, log aggregation/monitoring/alerting for a production system.
  • Must have a good command of authoring SQL.

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